Invention Grant
- Patent Title: Cardiac function assessment using machine-learning algorithms
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Application No.: US17305391Application Date: 2021-07-07
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Publication No.: US12004860B2Publication Date: 2024-06-11
- Inventor: Paul Klein , Ingo Schmuecking , Costin Florian Ciusdel , Lucian Mihai Itu , Tiziano Passerini , Puneet Sharma
- Applicant: SIEMENS HEALTHINEERS AG
- Applicant Address: DE Forchheim
- Assignee: Siemens Healthineers AG
- Current Assignee: Siemens Healthineers AG
- Current Assignee Address: DE Forchheim
- Priority: DE 2020209696.1 2020.07.31 EP 465550 2020.07.31
- Main IPC: A61B5/308
- IPC: A61B5/308 ; A61B5/00 ; A61B5/026
Abstract:
A method includes processing at least one input dataset (using a multi-level processing algorithm, one or more of the at least one input dataset comprising imaging data of an echocardiography of a cardiovascular system of a patient. The multi-level processing algorithm comprises a multi-task level and a consolidation-task level. An input of the consolidation-task level is coupled to an output of the multi-task level. The multi-task level is configured to determine multiple diagnostic metrics of the cardiovascular system based on the at least one input dataset. The consolidation-task level is configured to determine a fitness of the cardiovascular system of the patient.
Public/Granted literature
- US20220031218A1 Cardiac Function Assessment using Machine-Learning Algorithms Public/Granted day:2022-02-03
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